{"id":"https://openalex.org/W4399911723","doi":"https://doi.org/10.48550/arxiv.2406.14325","title":"Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers","display_name":"Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers","publication_year":2024,"publication_date":"2024-06-20","ids":{"openalex":"https://openalex.org/W4399911723","doi":"https://doi.org/10.48550/arxiv.2406.14325"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2406.14325","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.14325","pdf_url":"https://arxiv.org/pdf/2406.14325","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.14325","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002334346","display_name":"Harald Semmelrock","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Semmelrock, Harald","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081576873","display_name":"Tony Ross\u2010Hellauer","orcid":"https://orcid.org/0000-0003-4470-7027"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ross-Hellauer, Tony","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088374460","display_name":"Simone Kopeinik","orcid":"https://orcid.org/0000-0002-6440-7286"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kopeinik, Simone","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068838092","display_name":"Dieter Theiler","orcid":"https://orcid.org/0000-0001-5340-8374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Theiler, Dieter","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031052556","display_name":"Armin Haberl","orcid":"https://orcid.org/0009-0000-5356-5126"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haberl, Armin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058255556","display_name":"Stefan Thalmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thalmann, Stefan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071624510","display_name":"Dominik Kowald","orcid":"https://orcid.org/0000-0003-3230-6234"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kowald, Dominik","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5002334346"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.8985000252723694,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.8985000252723694,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8238999843597412,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.8137999773025513,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reproducibility","display_name":"Reproducibility","score":0.8487780690193176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4555172026157379},{"id":"https://openalex.org/keywords/engineering-management","display_name":"Engineering management","score":0.3602762818336487},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34930336475372314},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2719799876213074},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13090693950653076},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07963263988494873}],"concepts":[{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.8487780690193176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4555172026157379},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.3602762818336487},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34930336475372314},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2719799876213074},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13090693950653076},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07963263988494873}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2406.14325","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.14325","pdf_url":"https://arxiv.org/pdf/2406.14325","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2406.14325","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2406.14325","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.14325","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.14325","pdf_url":"https://arxiv.org/pdf/2406.14325","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8493264354","display_name":null,"funder_award_id":"101094817","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399911723.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2413717610","https://openalex.org/W1973270181","https://openalex.org/W2417696084","https://openalex.org/W2368782778","https://openalex.org/W2087830269","https://openalex.org/W3106281778","https://openalex.org/W3134060498","https://openalex.org/W2003643616"],"abstract_inverted_index":{"Many":[0],"research":[1,19,123,187],"fields":[2],"are":[3,53],"currently":[4],"reckoning":[5],"with":[6,72],"issues":[7,175],"of":[8,11,33,45,70,122],"poor":[9,38],"levels":[10,150],"reproducibility.":[12],"Some":[13],"label":[14],"it":[15],"a":[16,132],"\"crisis\",":[17],"and":[18,42,84,100,120,139,143,154,193],"employing":[20],"or":[21,36],"building":[22],"Machine":[23],"Learning":[24],"(ML)":[25],"models":[26],"is":[27,188],"no":[28],"exception.":[29],"Issues":[30],"including":[31],"lack":[32],"transparency,":[34],"data":[35],"code,":[37,152],"adherence":[39],"to":[40,91,109,145,161,164,172,180,194],"standards,":[41],"the":[43,92,105,136,159,162,199],"sensitivity":[44],"ML":[46,79],"training":[47],"conditions":[48],"mean":[49],"that":[50,104],"many":[51],"papers":[52],"not":[54],"even":[55],"reproducible":[56],"in":[57,119,126,176,190],"principle.":[58],"Where":[59],"they":[60],"are,":[61],"though,":[62],"reproducibility":[63,89,116,147,174],"experiments":[64],"have":[65],"found":[66],"worryingly":[67],"low":[68],"degrees":[69],"similarity":[71],"original":[73],"results.":[74,124],"Despite":[75],"previous":[76],"appeals":[77],"from":[78,87],"researchers":[80,171],"on":[81,98,135,198],"this":[82,111,127],"topic":[83],"various":[85,149],"initiatives":[86],"conference":[88],"tracks":[90],"ACM's":[93],"new":[94,133],"Emerging":[95],"Interest":[96],"Group":[97],"Reproducibility":[99],"Replicability,":[101],"we":[102,129],"contend":[103],"general":[106],"community":[107],"continues":[108],"take":[110],"issue":[112],"too":[113],"lightly.":[114],"Poor":[115],"threatens":[117],"trust":[118],"integrity":[121],"Therefore,":[125],"article,":[128],"lay":[130,181],"out":[131,182],"perspective":[134],"key":[137,183],"barriers":[138,163],"drivers":[140,160],"(both":[141],"procedural":[142],"technical)":[144],"increased":[146],"at":[148],"(methods,":[151],"data,":[153],"experiments).":[155],"We":[156],"then":[157],"map":[158],"give":[165],"concrete":[166],"advice":[167],"for":[168,170],"strategies":[169],"mitigate":[173],"their":[177],"own":[178],"work,":[179],"areas":[184],"where":[185],"further":[186,195],"needed":[189],"specific":[191],"areas,":[192],"ignite":[196],"discussion":[197],"threat":[200],"presented":[201],"by":[202],"these":[203],"urgent":[204],"issues.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
